Senior Data Engineer

Figure; San Jose (CA); On-site; USD 140,000 - 350,000; Full time

Job summary

An innovative AI Robotics company is seeking a Senior Data Engineer to enhance their data processing infrastructure. In this pivotal role, you will transform robotic system logs into actionable insights, ensuring optimal robot performance and reliability. Your expertise in data engineering will enable the development of efficient pipelines and visualization tools, supporting a diverse engineering team. This full-time position offers a competitive salary range, reflecting the importance of your contributions in a rapidly evolving industry. Join a forward-thinking team dedicated to solving labor shortages with cutting-edge humanoid technology.

Qualifications

• 3+ years of experience in data engineering with log data processing.
• Strong understanding of database design and query optimization.

Responsibilities

• Develop and maintain data pipelines for robot logs.
• Optimize data processing for quicker access and visualization.

Skills

Python

Data Engineering

SQL

NoSQL

Data Visualization

Debugging Skills

Education

Bachelor's or Master’s degree in Computer Science

Degree in Data Engineering

Tools

Pandas

Polars

PySpark

Grafana

CI/CD Pipelines

Job description

Figure is an AI Robotics company developing a general-purpose humanoid. Our humanoid is designed for corporate tasks targeting labor shortages and jobs that are undesirable or unsafe. We are based in San Jose, CA, and require 5 days/week in-office collaboration. It’s time to build.

We are looking for an experienced Senior Data Engineer to develop and optimize our data processing infrastructure and tools, enabling deep insights from robotic system logs.In this role you will transform robot logs and other sources of data to extract information, identify patterns, provide access to the data and visualization tools. Your work will help ensure that the robot is operating reliably at maximum performance, and inform engineering design trades and decisions.

Responsibilities:

• Develop and maintain pipelines and tools to transform robot logs to make it easier to access, visualize, and automatically detect events of interest.
• Optimize data processing to reduce the time needed between data offload and the availability of the data to our engineering teams.
• Design and optimize data storage solutions for handling complex, high-volume time-series and structured data.
• Build and maintain database schemas and queries to support analytics and visualization of extracted patterns.
• Support mechanical, electrical, software, integration and test engineers with their needs to extract and visualize data.
• Develop dashboards and custom data visualizations tools to enable engineers to quickly extract information from the data and track robot performance.
• Integrate your solutions with existing data pipelines and our robot testing framework.

Requirements:

• Bachelor's or Master’s degree in Computer Science, Data Engineering, or a related field.
• 3+ years of experience in data engineering, preferably with time-series or log data processing.
• Proficiency in Python with experience in Pandas, Polars, or PySpark for large-scale data processing.
• Strong understanding of database design, indexing, and query optimization (SQL and NoSQL).
• Experience handling complex data formats such as Parquet, MCAP, or protobuf.
• Familiarity with data visualization tools like Grafana for real-time analysis and monitoring.
• Experience with distributed computing frameworks and cloud-based data storage solutions.
• Strong debugging skills and ability to work with lab teams to interpret robotic system logs.

Bonus Qualifications:

• Experience with CI/CD pipelines for automated data processing.
• Knowledge of robotics or embedded system logging frameworks.
• Familiarity with real-time data streaming and event-driven architectures.

The US base salary range for this full-time position is between $140,000 - $350,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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